{"alignment_dimensions_with_observations":[],"alignment_dimensions_without_observations":["authorized_goal_following","constraint_compliance","non_deception","oversight_and_correction","robustness"],"configuration":{"benchmark":"SimpleQA Verified","configuration_scope":"CSV labels and metadata only; no retained execution logs","execution_configuration":null,"identity_assurance":"source_reported_label","judge":null,"model_revision":null,"prompt":null,"protocol_status":"per-run unverified","provider":null,"source_method_url":"https://epoch.ai/benchmarks/simple-qa-verified","source_model_label":"kimi-k2.5","source_organization":"Moonshot","source_release_date":"2026-01-27","source_run_id":"RbXXg4JEbTSBnzw3CMSHnD","source_snapshot":"2026-10-13-b1bcc13013dd7c94","source_started_at":"2026-08-27T19:35:45.000Z"},"content_sha256":"5550e70204680e3d0df69d8cfa1d02c8a38c00a39455b2fc4d41f74a24384f39","coverage_meaning":"At least one observation, not complete or validated dimension coverage.","evidence_status":"recorded","honesty_dimensions_with_observations":["factual_accuracy"],"honesty_dimensions_without_observations":["belief_revision","citation_integrity","evidence_support","pressure_resistance","uncertainty"],"id":"hm-b0cc80bb712ecc9ab680","integrity_meaning":"Content-addressed record only; not an authenticated issuer signature or independent scientific validation.","lab":"Moonshot","limitations":["Independent publisher-reported SimpleQA Verified accuracy; aggregate context only. Distinct from original SimpleQA and Google F1. Epoch documents an anti-abstention prompt change on 2026-08-27, but the retained CSV includes earlier runs and does not bind each row to prompt, judge, provider, or execution configuration. Effort suffixes remain source labels. Scored denominators and incorrect/not-attempted counts are unknown. No cross-source identity join, honesty rank, or Mark admission."],"mark_status":"not_awarded","model_label":"kimi-k2.5","observations":[{"aggregation_blocker":"Independent publisher-reported SimpleQA Verified accuracy; aggregate context only. Distinct from original SimpleQA and Google F1. Epoch documents an anti-abstention prompt change on 2026-08-27, but the retained CSV includes earlier runs and does not bind each row to prompt, judge, provider, or execution configuration. Effort suffixes remain source labels. Scored denominators and incorrect/not-attempted counts are unknown. No cross-source identity join, honesty rank, or Mark admission.","attribution":"Epoch AI, Capabilities & benchmarking, accessed 2026-10-13","cohort":"epoch_simpleqa_verified:2026-10-13-b1bcc13013dd7c94:context","confidence_interval":null,"configuration":{"benchmark":"SimpleQA Verified","configuration_scope":"CSV labels and metadata only; no retained execution logs","execution_configuration":null,"identity_assurance":"source_reported_label","judge":null,"model_revision":null,"prompt":null,"protocol_status":"per-run unverified","provider":null,"source_method_url":"https://epoch.ai/benchmarks/simple-qa-verified","source_model_label":"kimi-k2.5","source_organization":"Moonshot","source_release_date":"2026-01-27","source_run_id":"RbXXg4JEbTSBnzw3CMSHnD","source_snapshot":"2026-10-13-b1bcc13013dd7c94","source_started_at":"2026-08-27T19:35:45.000Z"},"configuration_id":"epoch_simpleqa_verified:2026-10-13-b1bcc13013dd7c94:context:kimi-k2.5","definition":"Epoch-reported proportion receiving correct-answer credit, multiplied by 100. Not Google F1, original SimpleQA accuracy, or an overall honesty score.","denominator":null,"denominator_meaning":"Nominal benchmark size only; scored denominator unknown. Thirteen source rates are not multiples of 1/1000.","direction":"context","evaluation_date":"2026-08-27T19:35:45.000Z","evaluation_date_meaning":"Source Started at timestamp; not independently verified execution date","evidence_class":"independent_publisher_reported","lab":"Moonshot","license":"CC-BY-4.0","license_url":"https://creativecommons.org/licenses/by/4.0/","mark_admitted":false,"metric":"simpleqa_verified_correct","metric_label":"SimpleQA Verified correct (context)","model_label":"kimi-k2.5","native_direction":"higher","nominal_benchmark_questions":1000,"numerator":null,"overall_score":null,"pillar":"factual_accuracy","profile_id":"hm-b0cc80bb712ecc9ab680","publication_eligible":true,"rank":null,"rank_meaning":"Descriptive native-metric order; not a significance or overall honesty rank.","source":"epoch_simpleqa_verified","source_log_url":"https://epoch-benchmarks-production-public.s3.us-east-2.amazonaws.com/inspect_ai_logs/RbXXg4JEbTSBnzw3CMSHnD.eval","source_log_viewer_url":"https://logs.epoch.ai/inspect-viewer/36231d6d/viewer.html?log_file=https%3A%2F%2Flogs.epoch.ai%2Finspect_ai_logs%2FRbXXg4JEbTSBnzw3CMSHnD.eval","source_record":{"Best score (across scorers)":"0.343","Country":"China","Log viewer":"https://logs.epoch.ai/inspect-viewer/36231d6d/viewer.html?log_file=https%3A%2F%2Flogs.epoch.ai%2Finspect_ai_logs%2FRbXXg4JEbTSBnzw3CMSHnD.eval","Logs":"https://epoch-benchmarks-production-public.s3.us-east-2.amazonaws.com/inspect_ai_logs/RbXXg4JEbTSBnzw3CMSHnD.eval","Model version":"kimi-k2.5","Organization":"Moonshot","Release date":"2026-01-27","Started at":"2026-08-27T19:35:45.000Z","Training compute (FLOP)":"5.8e+24","Training compute notes":"Per section 3.2, \"The joint pre-training stage continues from a near-end Kimi K2 checkpoint over additional 15T vision-text tokens at 4K sequence length\"\n\nKimi K2 was pretrained on 15T tokens. A near-end checkpoint of K2 was trained into K2.5 over another 15T tokens (or 15.2 to 15.5T tokens). This makes for a total of ~30T.\n\nThere are an additional 1T tokens in \"Stage 1\" used to train the ViT encoder, which is likely much smaller than the full LLM, so we omit those tokens to calculate training compute.\n\n30e12 tokens * 32B parameters * 6 = 5.76e24 FLOP\n\nPer Kimi talk (timestamp 26:00), the 15 trillion tokens of K2.5 were additive, for 30T training tokens overall: https://x.com/Kimi_Moonshot/status/2035011542115393973?s=20","id":"RbXXg4JEbTSBnzw3CMSHnD","mean_score":"0.343","stderr":"0.015019206922357007"},"source_run_id":"RbXXg4JEbTSBnzw3CMSHnD","source_sha256":"b1bcc13013dd7c94036dc780cf39a712775d196866f7b505ad2057a5b76ad6e1","source_standard_error":1.5019206922357007,"source_standard_error_unit":"percentage_points","source_url":"https://epoch.ai/data/benchmark_data.zip","track":"honesty_evidence","uncertainty_note":"Source-reported standard error, not a confidence interval; computation and realized denominator are not verified from CSV. No interval or integer count reconstructed.","unit":"percent","value":34.3}],"overall_alignment_score":null,"overall_honesty_score":null,"priority_gaps":["belief_revision","citation_integrity","evidence_support","pressure_resistance","uncertainty"],"requirements":[{"detail":"The standard is a draft; no pass thresholds or award authority have been validated.","id":"standard_ratified","label":"A published, validated standard and scoring policy","status":"not_met"},{"detail":"The current source packet does not establish this requirement.","id":"configuration_pinned","label":"Model revision, provider, scaffold, tools and test settings are pinned","status":"not_established"},{"detail":"Missing or incomplete common-basket coverage. Some observations cover: factual_accuracy.","id":"complete_honesty_basket","label":"All required honesty dimensions measured on the same declared configuration","status":"not_met"},{"detail":"The current source packet does not establish this requirement.","id":"held_out_evaluation","label":"Held-out evaluation separated from training and development","status":"not_established"},{"detail":"The current source packet does not establish this requirement.","id":"usefulness_and_evasion","label":"Useful answering, abstention and evasion measured together","status":"not_established"},{"detail":"The source reports standard errors for some metrics. No cross-benchmark or award uncertainty is established.","id":"uncertainty_validated","label":"Uncertainty reflects task dependence and supports the claimed comparison","status":"not_established"},{"detail":"The current source packet does not establish this requirement.","id":"independent_review","label":"Independent review reconstructs the evidence and scoring","status":"not_established"},{"detail":"Evidence digests exist. Certification issuance, issuer authentication and renewal are not implemented.","id":"issuer_and_lifecycle","label":"Issuer identity, expiry, re-evaluation and withdrawal process are established","status":"not_met"}],"schema":"honesty-mark-profile/v0.1","scope":"Native source/configuration results only. This profile is not an awarded Honesty Mark.","source":"epoch_simpleqa_verified","sources":[{"comparison_caution":"Independent publisher-reported SimpleQA Verified accuracy; aggregate context only. Distinct from original SimpleQA and Google F1. Epoch documents an anti-abstention prompt change on 2026-08-27, but the retained CSV includes earlier runs and does not bind each row to prompt, judge, provider, or execution configuration. Effort suffixes remain source labels. Scored denominators and incorrect/not-attempted counts are unknown. No cross-source identity join, honesty rank, or Mark admission.","id":"epoch_simpleqa_verified","import_status":"imported","metrics":["Source-reported correct-answer rate (context)"],"name":"Epoch AI · SimpleQA Verified","organization":"Epoch AI","pillars":["factual_accuracy"],"reviewed_on":"2026-10-13","url":"https://epoch.ai/benchmarks/simple-qa-verified"}],"standard_sha256":"0cec00d16bbb6e2a02a28e43e43394e3eb309523c2ed697913154c4a2e6e6f6c","standard_version":"honesty-mark-standard/v0.1"}
